National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

Numerical analysis of electroosmotic mixing in a heterogeneous charged micromixer with obstacles

Abstract: The mixing and flow characteristics are numerically investigated for an electroosmotic flow through a heterogeneous charged micromixer with obstacles both at the top and bottom walls arranged in inline and staggered order by varying the obstruction angle (θ). The results are presented by varying the Debye parameter (κ), magnitude of the zeta potential (|ζ|), and obstruction angle in the range of 10 ≤ κ ≤ 100, 1 ≤|ζ| ≤ 4, and 60° ≤ θ ≤ 120°, respectively. Results reveal that the strength of the recirculation zone is the highest for θ = 90° and it enhances with κ and |ζ|, and moreover, the strength is always higher for the staggered arrangement of obstacles as compared to the inline order. For inline arrangement of the obstacles, the value of mixing efficiency (ME) decreases with κ as well as |ζ| and the highest values are seen for θ = 90°. For the staggered arrangement of obstacles, the variation of ME with κ is not monotonic; rather, it strongly depends on |ζ| and θ. The flow rate increases with the increase in κ and it is the lowest for θ = 90° and importantly, the flow rate is always more for inline arrangements of the obstacles.

Empirical Study on Malicious URL Detection Using Machine Learning

Abstract: In this paper, the malicious URLs detection is treated as a binary classification problem and performance of several well-known classifiers are tested with test data. The algorithms Random Forests and support Vector Machine (SVM) are studied in particular which attain a high accuracy. These algorithms are used for training the dataset for classification of good and bad URLs. The dataset of URLs is divided into training and test data in 60:40, 70:30 and 80:20 ratios. Accuracy of Random Forests and SVMs is calculated for several iterations for each split ratio. According to the results, the split ratio 80:20 is observed as more accurate split and average accuracy of Random Forests is more than SVMs. SVM is observed to be more fluctuating than Random Forests in accuracy.

Performance analysis of series: shunt configuration based RF MEMS switch for satellite communication applications

Abstract: In this paper the RF-MEMS switch with series–shunt configuration on a single quartz substrate is presented to achieve high isolation than the individual series or shunt switches. This paper presents the isolation of series–shunt configuration switch of 84.7 dB is achieved at 26 GHz when both switches are in OFF state which is higher than the OFF state of the individual series switch and shunt switches. The return loss (s11) is less than − 60 dB, insertion loss is less than − 0.09 dB is observed for better performance in satellite communication applications. The series/ohmic and shunt/capacitive membranes are designed with uniform spring structure and crab leg structure, respectively and simulated using FEM tool. Ashby’s method is used to select the materials for the switch membranes/beam and dielectric layer. The gap between the dielectric and the movable beam is maintained at 3 µm in series switch and 2.5 µm for shunt switch to achieve same pull-in voltage of 23.5 V. The up-state and down-state capacitance of the device is calculated and compared with the simulated results which are 0.24 and 14.2 fF, respectively by considering TiO2 as a dielectric layer between membrane and lower electrode.